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May 15, 2018 • Page 3
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Collaborating For
Research-Based Solutions
By Lura Roti for SDSU Extension
Why was their potato crop destroyed by
disease some years, and other years produced a bumper crop?
As a young child growing up on his family's diversified farm in Uganda, Africa, this
unanswered question frustrated Emmanuel
Byamukama. It also sparked an interest in
agricultural research which eventually led to
his career as a South Dakota State University
Assistant Professor and SDSU Extension
Plant Pathologist.
"Research is fascinating," explains Byamukama, who works in all areas of SDSU's
land grant mission - teaching, research and
extension. "It gives me a lot of joy and job
satisfaction when I am able to help farmers.
Through SDSU Extension we provide growers with research-based, unbiased information so they can make decisions on what
practices they want to implement."
To provide research-based information,
Byamukama, like all SDSU Extension Agriculture and Natural Resources staff, works
closely with the team at the South Dakota
Agricultural Experiment Station at SDSU
(SDSU AES).
"No one person can do everything. Because of the collaborative relationship SDSU
Extension has with SDSU AES, together we
can address problems, develop applicable
solutions and share them with growers,"
Byamukama says.
Currently, Byamukama is collaborating with a team of AES agronomists, along
with computer scientists and mathematicians from SDSU's Jerome J. Lohr College of
Engineering, to develop a tool South Dakota
soybean growers can use to protect their
fields from white mold.
The research is driven by concerns pouring in from numerous South Dakota soybean
growers who annually lose yields and profits
because they are unable to effectively treat
the white mold fungus.
And, the products are not to blame. The
issue is due to treatment timing. In order to
be effective, fungicide needs to be applied
at flowering, before any indication of a white
mold attack.
White mold is a devastating, difficult-totreat disease, Byamukama explains, because
the first visual signs of the fungus in a field
are dead soybean plants. However, because
a white mold attack is triggered by specific
weather conditions, researchers have found
that there are environmental predictors
which can be used to forecast the probability of white mold.
Through multi-season field analyses
conducted in farmers' fields and in SDSU AES
test plots, as well as weather data collected
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in the same locations, Byamukama and the
SDSU team are developing white mold prediction models.
Once perfected, the anticipated result
will be an online tool that allows farmers to
determine whether or not a fungicide application is necessary. And, if it is necessary,
the tool will let farmers know when to apply
a fungicide.
"This information will help growers
protect their soybean yields and, ultimately,
become more profitable and sustainable,"
Byamukama says.
This research project is just one of many
examples of the effective working relationship between SDSU Extension and SDSU AES,
explains Karla Trautman, SDSU Extension
Interim Director.
"This collaboration is the land grant
mission at work," Trautman says. "For more
than a century, SDSU Extension has served
as the communications conduit providing
applicable information, based on research
conducted at the university, research stations and elsewhere, to South Dakotans who
need it."
Because of the grassroots nature of SDSU
Extension, many research projects underway at SDSU AES are initiated in the same
way as the white mold research, explains
Bill Gibbons, Interim Director, South Dakota
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Agricultural Experiment Station at South
Dakota State University and Interim Associate Dean for Research, College of Agriculture
and Biological Sciences.
"SDSU Extension staff work closely with
South Dakotans. Our SDSU Extension team
has long been relied upon as a trusted
source for information. So, many times, they
are the first to learn of issues producers are
encountering in the field. If the research is
not already available, our extension staff
come to the AES team for that research," Gibbons says.
Local research, like that conducted on
stations and in farmers' farms across the
state by SDSU Extension and AES staff is
invaluable, says Byamukama, again referencing the white mold research.
"Because pathogens and environment
are location-specific, the conditions that
are here in South Dakota would not be the
same as those found in Iowa, Minnesota or
any other state. To solve local problems,
we need to have access to local research,"
Byamukama explains.
Byamukama and the SDSU AES team will
continue to collect data and test white mold
prediction models throughout the 2018 growing season, field-test the system in 2019, in
hopes that South Dakota farmers can begin
to use the online tool growing season 2020.
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